New Turing Institute @newturing
Non-profit. Nurture and inspire the next generation of AI talents in Southeast Asia and beyond. Formerly VietAI https://t.co/ujRpQMJEuK. newturing.ai Joined January 2018-
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A huge congratulations on this incredible achievement 🎉. We've been cheering for you since the very first GStar Bootcamp, so it's amazing to see your work being recognized on such a big stage. Moments like this make us incredibly proud of the #GStar community and the people in it. Proud of your journey, and excited to see where it takes you next 🙌.
Honored to win 1st place at South Asia’s biggest AI conference and be among the three teams invited to present our work. We built an AI Co-Scientist for Biotech Researchers that beat the Industry leader by 40% and a Virtual Cell model that is currently top 5 globally in
Great having you on our “Bridging AI & Humanity” panel. Couldn't agree more that we don't have to choose between pushing AI forward and putting people first👍.
#Vietnam 🇻🇳 @newturing #MyPOV: “Some might say you can’t spell humAnIty without AI, but the GStar Summit makes clear that the would-be ‘masters of the AI universe’ would be well-served to move beyond the tech to ensure #humanity does not move to reject #AI. Technology leaders
Delighted to have you on our #Agentic AI panel. Thank you for the thoughtful discussion and generous words about our summit. Still owe you the selfie with Thang, hopefully next time 😊
My second time as a speaker at gstar summit in Vietnam. This time I am honoured to be chilling (I mean sitting) on a panel with colleagues @lmthang and @edchi 😀. I really enjoyed the vibes and company and meeting new people. 🫡 Events by @lmthang and @newturing have always not
Dr. @YiTayML will join the panel on #FrontierAI at #GStar Summit 2026. Follow the conversation: summit.newturing.ai
Dr. @noriyuki_kojima will give a talk on #AI for language and communication at #GStar Summit 2026. His session will explore how real-time speech AI can help more people participate across languages. Let's be part of the talk: summit.newturing.ai
For years, Vietnam has been part of the global tech supply chain. The next question is more ambitious: can Vietnamese companies build #AI products and capabilities that compete globally? Dr. Phong Nguyen, CTO of #FPT Corporation, will speak to this shift at #GStar Summit 2026. Explore more: summit.newturing.ai
Prof. @PoShenLoh will deliver a keynote at #GStar Summit 2026 on #AI’s disruption of #education, alongside a panel discussion on #Humanity. Come listen, reflect, and explore: summit.newturing.ai
Marc Woo will join #GStar Summit 2026 for a talk on #AI industry and #ecosystem development. Hear Marc Woo’s perspective: summit.newturing.ai
@marcwoohf will join #GStar Summit 2026 for a conversation on #AI industry and #ecosystem development. Hear Marc Woo’s perspective: summit.newturing.ai
@marcwoohf will join #GStar Summit 2026 for a talk about #AI industry and #ecosystem development. Hear Marc Woo’s perspective: summit.newturing.ai
As foundation models, compute, and large-scale data concentrate in a few global tech hubs, emerging markets face a strategic question: how to adopt AI without becoming overly dependent on systems they do not govern. At #GStarSummit, Jean DeSombre will bring a policy and governance lens to this challenge. Curious to hear from the #AI, #policy, and #investment community: what should emerging markets prioritize first to build long-term AI agency?
LLMs are changing the misinformation threat model: false claims can now be paraphrased, contextualized, and scaled with few surface-level signals. At GStar Summit 2026, Prof. @preslav_nakov will discuss AI safety, fact-checking, propaganda, media bias detection, and the trust layer of AI. Join us at: summit.newturing.ai
At GStar Summit 2026, Dr. @lmthang will add a research lens shaped by foundation models and frontier AI Full program and updates: summit.newturing.ai
Dr. @edchi will join GStar Summit 2026 for a keynote on foundation models and a panel discussion on frontier AI. Website for program details and ticket registration: summit.newturing.ai Be part of the conversation!
‼️ LLM asks smaller model for help: 80% cheaper, better accuracy Inspired by @NVIDIAAI 's "Small Language Models are the Future of Agentic AI", I built a framework where an LLM can ask a specialized Small Language Model (SLM) for assistance on 'easy' tasks. This is because SLMs can sufficiently perform such tasks, while costing much less than an LLM. For simplicity + speed, I tested on math reasoning tasks (GSM8K, 500 Qs). Results vs. LLM (alone) • ✅ 80% fewer tokens • ✅ 1.8% accuracy improvement • ❌ 140% slower ☄️ Next Steps: • Expand Routing: Route tasks based on SLM performance strengths. • Optimize Latency: Improve SLM inference speed • Expand Domains: Extend evaluation to more 'agentic' tasks (e.g. Deep Search) I'd really appreciate feedback + ideas! cc @newturing (Github link below 👇)
Just had a really fun and insightful lecture with Professor Christopher Manning, one of the co-inventors of the GloVe word vectors!! His life advice: “Jump into promising new things early (with both feet)” He also commented on Yann LeCun’s “the future of AI is not LLMs”, saying that such statement greatly underestimates language and how much it represents intelligence We talked about his research journey and interests, promising research areas, as well as communication w/ aliens 👽 He also talked about how important it is for researchers to have a deep technical expertise and understand, and recommends aspiring researchers to implement paper to build that understand It was a great lecture @newturing, and thank you so much to Dr. @lmthang and the team for having invited Professor Manning!!
post-training lecture by @jon_lee0 who co-led the recent Gemini’s IMO gold medal at @GoogleDeepMind felt surreal to be learning from the best as part of @newturing
Congrats @furst_fly! Special thanks to @chiennv2000 and @longphan3110 for designing this Flash Attention assignment. Check it out at github.com/newturing/GSta…!
It felt like yesterday I was a 17yo at MIT Manipal who thought AI was more magic than math. Today, I shipped a first-of-its-kind backprop implementation that combines FlashAttention + GQA + SWA + Attention Sinks for GPT‑OSS : fully open source. Benchmarks: ~33× faster
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